A technique for gathering data on the mind and behaviour
Experiment
It involves an IV and a DV
Independent variable (IV)
The variable in an experiment which is changed or manipulated
Dependent variable (DV)
The variable in an experiment which is measured, to see how it has been affected by the IV
Operationalise a variable
To make it specific and measurable
Extraneous variable
Variables, other than the IV, which could have an effect on the DV
Validity
Whether we are measuring what we intended to measure
Presence of extraneous variables
Can reduce the validity of findings, as they mean the experimenter is no longer measuring what they intended (no longer just the affect of the IV on the DV)
Situational variables
Variables to do with the environment or situation
Participant variables
Variables to do with differences between participants
Order effects
Whereby the order in which participants complete the different conditions of an experiment influence how they behave (this includes gaining practise, becoming tired or bored)
Demand characteristics
When participants think they know the aim of the research and change their behaviour, acting in a way that they think the psychologist wants them to
Investigator effects
When the researcher unintentionally gives clues to participants about how they should behave, which then alters their behaviour
Standardised procedure
Where the procedure of a study is the same across all conditions, and for all participants
Counterbalancing
Where half of the participant group experience condition A then condition B, while the other half experience condition B then condition A
Randomisation
When participants are randomly assigned to condition A or B as their first or second test condition
Single-blind technique
When information about the study is withheld from participants (to prevent demand characteristics)
Double-blind technique
When the aims of the study are withheld from both participants and researchers (also prevents investigator effects)
Hypothesis
A statement of predicted outcomes based on a theory being tested
Null hypothesis
A prediction that the result or outcome will find no effect or very little effect
Alternative hypothesis
A prediction that the result or outcome will find a significant effect. It is known as an alternative hypothesis because it is 'alternative' to the null hypothesis
Null hypothesis for investigating whether age affects short-term memory
There will be no significant difference in the short-term memory ability (measured through their score on a digit span test) between older participants and younger participants. Any difference will be due to chance
Alternative hypothesis for investigating whether sweets have an impact on children's attention span
There will be a significant difference in the attention span (measured through time spent concentrating in a lesson) between children who it lots of sweets and children who eat few sweets
Target population
The group of people being investigated, to which the findings will be generalised
Sample
A selection of the target population that is directly studied in an investigation
Participants
The people who take part in a study
Representative sample
Whether results of a study represent the whole population, not just the sample used
Generalisable findings
Extent to which results can be generalised to groups of people other than the sample
Random sampling
Every member of the target population has equal chance of being selected
Strengths and weaknesses of random sampling
Strength: free from researcher bias - researcher has no influence on who is chose
Weakness: difficult / costly to ensure every member of target population has equal chance of being selected
Stratified sampling
Subgroups are identified within the target population. Participants are obtained from each subgroup, using a random sampling method, in proportion to their occurrence in the target population
Strengths and weaknesses of stratified sampling
Strength: sample is likely to be representative as each subgroup within the target population will be represented
Weakness: difficult / costly to ensure all subgroups in the target population are represented in the sample
Volunteer sampling
Participants who are willing to volunteer themselves to take part in a study (often means advertising the study)
Strengths and weaknesses of volunteer sampling
Strength: minimal effort from researchers – quicker and easier than other methods
Weakness: unlikely to produce a representative sample – not everyone will see the advert or want to respond
Opportunity sampling
Selecting anyone who is available and willing to take part at the time
Strengths and weaknesses of opportunity sampling
Strength: requires little effort from the researcher (so likely to be the cheapest method)
Weakness: biased sample likely to be produced, as not every member of the target population may be around at the time of the study
Experimental design
Refers to how participants are organised or allocated into the different conditions of a study
Independent groups design
Involves multiple separate groups of participants completing only one condition of a study
Repeated measures design
Involves the same participants completing both / all conditions of a study
Matched pairs design
Involves two separate groups of participants completing only one condition of a study, yet these groups are matched on important characteristics, such as age or gender